Text simplification (TS) reduces the complexity of the text to improve its readability and
understandability, while possibly retaining its original information content. Over time, TS has …

We report the findings of the 2024 Multilingual Lexical Simplification Pipeline shared task.
We released a new dataset comprising 5,927 instances of lexical complexity prediction and …

In this paper, we present the FABRA: readability toolkit based on the aggregation of a large
number of readability predictor variables. The toolkit is implemented as a service-oriented …

Lexical complexity plays an important role in reading comprehension. lexical complexity
prediction (LCP) can not only be used as a part of Lexical Simplification systems, but also as …

In this article, we present ReSyf, a lexical resource of monolingual synonyms ranked
according to their difficulty to be read and understood by native learners of French. The …

This paper describes a CEFR-based classifier of single-word and multi-word lexical
complexity in context from a second language learner perspective in English and in French …

Readability is an almost century-old field that aims to match readers with texts based on
reproducible tools. It has a long history, but it is remarkable that the methodology used to …

In this paper we present work-in-progress where we investigate the usefulness of previously
created word lists to the task of single-word lexical complexity analysis and prediction of the …

This paper introduces EFLLex, an innovative lexical resource that describes the use of
15,280 English words in pedagogical materials across the proficiency levels of the …

In this thesis, we investigate how natural language processing (NLP) tools and techniques
can be applied to vocabulary aimed at second language learners of Swedish in order to …